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The Royal Haciendas Resort in Playa del Carmen, Mexico, is thinking of starting a new promotion. When a customer checks out of the resort after spending 5 or more days, the customer would be given a voucher that is good for 2 free nights on the next stay of 5 or more nights at the resort. The marketing manager is interested in estimating the proportion of customers who return after getting a voucher. From a simple random sample of 100 customers, 62 returned within 1 year after receiving the voucher. Please determine the 95% confidence interval estimate of the true population proportion.

User KristianB
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Answer:

The 95% confidence interval estimate of the true population proportion is (0.5249, 0.7151).

Explanation:

In a sample with a number n of people surveyed with a probability of a success of
\pi, and a confidence level of
1-\alpha, we have the following confidence interval of proportions.


\pi \pm z\sqrt{(\pi(1-\pi))/(n)}

In which

z is the zscore that has a pvalue of
1 - (\alpha)/(2).

From a simple random sample of 100 customers, 62 returned within 1 year after receiving the voucher.

This means that
n = 100, \pi = (62)/(100) = 0.62

95% confidence level

So
\alpha = 0.05, z is the value of Z that has a pvalue of
1 - (0.05)/(2) = 0.975, so
Z = 1.96.

The lower limit of this interval is:


\pi - z\sqrt{(\pi(1-\pi))/(n)} = 0.62 - 1.96\sqrt{(0.62*0.38)/(100)} = 0.5249

The upper limit of this interval is:


\pi + z\sqrt{(\pi(1-\pi))/(n)} = 0.62 + 1.96\sqrt{(0.62*0.38)/(100)} = 0.7151

The 95% confidence interval estimate of the true population proportion is (0.5249, 0.7151).

User Mansi Sharma
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